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Thomas LeBlanc

Once a data warehouse is initially created, performance and maintainability come into question. In this course, you'll explore SQL Server and the tools and resources needed to efficiently optimize a data warehouse.

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Once a data warehouse is initially created, performance and maintainability come into question. In this course, you'll explore SQL Server and the tools and resources needed to efficiently optimize a data warehouse.

The resources offered by Microsoft SQL Server are geared towards architects, developers, and administrators in the database realm. In this course, Optimizing a Data Warehouse on the Microsoft SQL Server Platform, you'll delve into the tools and resources available in SQL Server for optimizing a data warehouse. First, you'll explore the options for indexing in a data warehouse. Next, you'll learn how to use Integration Services (SSIS) to import source data into your destination. Then, you'll discover what the database engine includes, such as, table partitioning, various indexes like clustered and columnstore, and bulk insert. Finally, you'll explore documentation options that includes data flows complementing a data dictionary. By the end of this course, you'll have the necessary knowledge needed to effectively optimize your data warehouse on the Microsoft SQL Server platform.

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What's inside

Syllabus

Course Overview
Managing Data Warehouse with Best Practices
Partitioning Data Warehouse Fact Tables
Indexing Data Warehouse Tables
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Extracting, Transforming, and Loading (ETL) a Data Warehouse
Cleansing Data in a Data Warehouse
Centralizing Data with Master Data Management Processes
Documenting a Data Warehouse

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores performance and maintainability of SQL Server data warehouses
Provides hands-on labs and interactive materials
Taught by Thomas LeBlanc

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Optimizing a Data Warehouse on the Microsoft SQL Server Platform with these activities:
Read 'Data Warehousing: Concepts, Technologies, and Applications'
Reading this comprehensive text on data warehousing will provide a solid theoretical foundation for the concepts you'll encounter in this course.
Show steps
  • Review key chapters on data warehouse architecture, data modeling, and optimization techniques.
  • Use the book as a reference guide throughout the course to reinforce your understanding.
Learn Advanced Indexing Techniques
Following tutorials on advanced SQL Server indexing techniques will broaden your understanding of how to efficiently optimize a data warehouse.
Show steps
  • Identify tutorials covering advanced indexing techniques.
  • Follow the tutorials and practice implementing the techniques.
  • Experiment with different indexing strategies to observe their impact on data warehouse performance.
Data Warehouse Optimization Discussion
Engaging in discussions with peers about data warehouse optimization techniques will enhance your understanding and critical thinking skills.
Show steps
  • Join online forums or communities focused on data warehouse optimization.
  • Participate in discussions, asking questions and sharing insights.
  • Collaborate with peers on projects or case studies to apply optimization techniques.
Five other activities
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Show all eight activities
Explore Advanced SSIS Features
Delving into advanced SSIS features through tutorials will equip you with deeper knowledge of efficient data loading and transformation techniques.
Browse courses on SSIS
Show steps
  • Find tutorials covering advanced SSIS concepts, such as data flows and transformations.
  • Follow the tutorials and implement the techniques in your own data warehouse environment.
Practice Table Partitioning and Columnstore Indexes
Performing repeated exercises on table partitioning and columnstore indexes will enhance your proficiency in optimizing data warehouse performance.
Show steps
  • Create sample data warehouses with different partitioning and indexing schemes.
  • Run performance tests to compare and analyze the impact of different techniques.
  • Adjust partitioning and indexing strategies to achieve optimal performance.
Design and Implement a Data Dictionary
Creating a comprehensive data dictionary will reinforce your understanding of the data warehouse structure and its components.
Show steps
  • Gather metadata and analyze the data warehouse structure.
  • Define data elements, attributes, and relationships.
  • Create a documentation framework using a tool or template.
  • Populate the data dictionary with accurate and complete information.
Compile Resources on Data Warehouse Best Practices
Gathering and organizing resources on data warehouse best practices will provide a valuable reference for ongoing optimization efforts.
Show steps
  • Search and collect articles, whitepapers, and presentations on data warehouse best practices.
  • Create a central repository for these resources, such as a shared drive or document library.
  • Review and update the compilation regularly to ensure it remains current.
Contribute to an Open-Source Data Warehousing Project
Participating in an open-source data warehousing project will extend your knowledge beyond the classroom and contribute to the community.
Show steps
  • Identify open-source data warehousing projects, such as Apache Hive or Presto.
  • Review the project documentation and identify areas where you can contribute.
  • Submit code changes, bug fixes, or documentation improvements to the project.

Career center

Learners who complete Optimizing a Data Warehouse on the Microsoft SQL Server Platform will develop knowledge and skills that may be useful to these careers:
Data Warehouse Developer
A Data Warehouse Developer is responsible for developing and maintaining data warehouses. This course will help you develop the skills needed to become a successful Data Warehouse Developer. You will learn how to use SQL Server to create and manage data warehouses, how to use Integration Services (SSIS) to import source data into your destination, and how to use the database engine to optimize data warehouse performance.
SQL Server Data Warehouse Architect
A SQL Server Data Warehouse Architect designs, builds, and maintains data warehouses that are used by businesses to analyze data and make informed decisions. This course will help you develop the skills needed to become a successful SQL Server Data Warehouse Architect. You will learn how to use SQL Server to create and manage data warehouses, how to use Integration Services (SSIS) to import source data into your destination, and how to use the database engine to optimize data warehouse performance.
Data Warehouse Administrator
A Data Warehouse Administrator is responsible for managing data warehouses. This course will help you develop the skills needed to become a successful Data Warehouse Administrator. You will learn how to use SQL Server to create and manage data warehouses, how to use Integration Services (SSIS) to import source data into your destination, and how to use the database engine to optimize data warehouse performance.
Data Analyst
A Data Analyst is responsible for analyzing data to identify trends and patterns. This course will help you develop the skills needed to become a successful Data Analyst. You will learn how to use SQL Server to query data, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
Database Administrator
A Database Administrator is responsible for managing databases. This course will help you develop the skills needed to become a successful Database Administrator. You will learn how to use SQL Server to create and manage databases, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This course will help you develop the skills needed to become a successful Data Scientist. You will learn how to use SQL Server to query data, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for using data to help businesses make better decisions. This course will help you develop the skills needed to become a successful Business Intelligence Analyst. You will learn how to use SQL Server to query data, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
BI Developer
A BI Developer is responsible for developing and maintaining business intelligence systems. BI Developer is short for Business Intelligence Developer. This course will help you develop the skills needed to become a successful BI Developer. You will learn how to use SQL Server to query data, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
ETL Developer
A ETL Developer is responsible for developing and maintaining ETL systems. ETL Developer is short for Extract, Transform, and Load Developer. This course will help you develop the skills needed to become a successful ETL Developer. You will learn how to use SQL Server to query data, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
DBA
A DBA is responsible for administering databases. DBA is short for Database Administrator. This course will help you develop the skills needed to become a successful DBA. You will learn how to use SQL Server to create and manage databases, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software systems. This course will help you develop the skills needed to become a successful Software Engineer. You will learn how to use SQL Server to create and manage databases, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
Data Architect
A Data Architect is responsible for designing and managing data systems. This course will help you develop the skills needed to become a successful Data Architect. You will learn how to use SQL Server to create and manage databases, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
Data Engineer
A Data Engineer is responsible for building and maintaining data systems. This course will help you develop the skills needed to become a successful Data Engineer. You will learn how to use SQL Server to create and manage databases, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
Database Designer
A Database Designer is responsible for designing and developing databases. This course will help you develop the skills needed to become a successful Database Designer. You will learn how to use SQL Server to create and manage databases, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.
Systems Analyst
A Systems Analyst is responsible for analyzing and designing computer systems. This course will help you develop the skills needed to become a successful Systems Analyst. You will learn how to use SQL Server to create and manage databases, how to use Integration Services (SSIS) to import data from different sources, and how to use the database engine to optimize data warehouse performance.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Optimizing a Data Warehouse on the Microsoft SQL Server Platform.
Introduces dimensional modeling approaches, best practices for data warehouse design and implementation.
A comprehensive guide to the entire data warehousing lifecycle, from planning to deployment.

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